Summary of Post Based at the Cardiovascular Research Institute (CVRI) in Dublin, Mater Private Hospital in Dublin, and RCSI in Dublin.
This role is central to the CroíValve (DUO MAX) project, which aims to develop and validate a precision risk stratification model for patients undergoing tricuspid valve treatment.
The Royal College of Surgeons in Ireland (RCSI) focuses on leveraging advanced AI to overcome the limitations of traditional cardiovascular imaging, such as variability and radiation exposure.
By integrating NLP and data analytics, the project seeks to automate the extraction of critical data from Electronic Health Records (EHRs) and clinical reports to power a Clinical Decision Support System (CDSS) that standardizes workflows and enhances patient selection.
The successful candidate will contribute to high-impact scientific objectives, including the development of deep learning algorithms for automated leak quantification and the non-invasive assessment of Right Ventricular (RV) function.
Specifically, the duties of the post are: The applicant will work as part of Prof. Soliman's lab at both RCSI and Mater Private Hospital.
Key Responsibilities The Senior AI/ML Research Fellow will provide overall scientific, technical, and managerial leadership to the project.
Specifically, the duties include: • Architecting the end-to-end AI solution and directing the research efforts of the team.
• Managing the project plan to ensure all milestones and deliverables are met within the specified timeframe.
• Acting as the primary technical liaison with consortium partners to ensure project alignment.
• Developing advanced statistical and machine learning models for risk prediction using longitudinal clinical and imaging data.
• Directing the implementation and comparison of clustering algorithms for patient subtyping.
• Collaborate with clinical and imaging teams on data harmonisation • Leading the preparation of scientific reports, manuscripts, and presentations for high-impact journals and international conferences.
Requirements Essential: • PhD in Data Science, Biostatistics, Artificial Intelligence, or a related quantitative field.
• Extensive experience in research or industrial experience following the completion of a PhD.
• Demonstrated independent research experience, including a proven track record of leading complex projects.
• Expertise in longitudinal modelling and predictive analytics within a healthcare or clinical context.
• Advanced proficiency in Python and/or R. • Significant research output evidenced by a strong publication record in high-impact journals.
Desirable: • Experience in a leadership or managerial role within a large-scale research consortium.
• Specialized knowledge in multi-objective optimization and complex time-series analysis.
• Extensive experience integrating EHR/clinical data with multi-modal imaging biomarkers.
We are all too aware that imposter syndrome and the confidence gap can sometimes stop fantastic candidates putting themselves forward, so please do submit an application — we'd love to hear from you.